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Startup Data Engineer Jobs in Florida (NOW HIRING)

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

DevOps Engineer

Sarasota, FL · On-site

$49 - $67/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Our tech startup client is building a video platform that brings together content creators ... In-depth knowledge of distributed computing and data systems, multi-region presence, high traffic ...

DevOps Engineer

Sarasota, FL

$49 - $67/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Our tech startup client is building a video platform that brings together content creators ... In-depth knowledge of distributed computing and data systems, multi-region presence, high traffic ...

Showing results 21-40

Startup Data Engineer information

What is a startup data engineer?

A Startup Data Engineer is responsible for designing, building, and maintaining data infrastructure in an early-stage company. They work on developing ETL pipelines, managing databases, and ensuring data is accessible and reliable for analytics and machine learning. Unlike in larger companies, they often operate with limited resources, requiring them to balance scalability, cost-efficiency, and speed. They may also take on DevOps and software engineering tasks to support the startup’s evolving data needs. Adaptability and problem-solving skills are crucial in this role.

What are the key skills and qualifications needed to thrive as a startup data engineer?

To thrive as a Startup Data Engineer, you need strong programming skills (especially in Python or Scala), experience with data modeling, ETL pipelines, and a solid understanding of database management. Proficiency with tools like SQL, cloud platforms (AWS, GCP, or Azure), and frameworks such as Apache Spark or Airflow is typically expected, while data engineering certifications are a plus. Adaptability, problem-solving skills, and the ability to communicate technical concepts to non-technical team members are crucial soft skills in this environment. These attributes are essential for efficiently building data infrastructure and collaborating with fast-moving startup teams to enable data-driven decision-making.

What are the typical challenges faced by a startup data engineer, and how is the work environment different from larger companies?

As a Startup Data Engineer, you may encounter unique challenges such as building data systems from scratch, managing ambiguous requirements, and wearing multiple hats due to smaller team sizes. The work environment is often fast-paced and dynamic, with frequent changes in project priorities and high expectations for proactive problem-solving. You’ll likely collaborate closely with engineers, analysts, and founders, gaining hands-on experience with the entire data pipeline and direct influence on core business decisions. This setting offers excellent opportunities for rapid skill growth, creativity, and career advancement, but requires comfort with ambiguity and a strong sense of ownership.

What are the most commonly searched types of Startup Data Engineer jobs in Florida?

The most popular types of Startup Data Engineer jobs in Florida are:

Infographic showing various Startup Data Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Warehouse Analyst

Inteletech Global, Inc.

Tallahassee, FL • On-site

Contractor

Re-posted 15 days ago


Job description

Role: Data Warehouse Analyst
Location: Tallahassee FL-Onsite
Long term Contract
In Person Interview or Web Cam

Job Description:
Responsible for administration and maintaining Informatica IDMC services including Administrator, Data Integration, Data Quality, Data Profiling, Application Integration, and API Center, ensuring platform stability and optimal configuration across projects. Deploy, configure, and upgrade Informatica Secure Agents on Red Hat Enterprise Linux (RHEL) servers; implement agent failover, load balancing, and manage cipher suites and secure communications (TLS/SSL).
Establish Utilize CI/CD pipelines (e.g., Git, Jenkins) for deployment of mappings, tasks, processes, and other assets across multiple IDMC organizations. Maintains and configure platform connections, secure credentials, and secure agent parameter tuning for optimal performance and resource utilization. Manage SSO administration with SAML based user access, roles, and security policies, ensuring compliance with organizational standards and data governance requirements. Coordinates with infrastructure, security, and data teams to implement best practices in platform operations and administration.
Monitors environment performance, identifies issues, and works with development teams to troubleshoot and resolve failures. Maintains logs and performs root cause analysis for environment errors or performance bottlenecks. Oversees scheduling, notifications, and platform performance metrics to proactively manage SLAs. Perform ongoing Secure Agent health checks, configure log rotation, integrate with enterprise tools, and manage patching processes using CLI and shell scripting on RHEL.
Provides platform support for Cloud Data Integration, Cloud Application Integration, and Cloud Data Quality services, including agent upgrades, patches, and coordination with Informatica support. Works closely with data engineering and business teams to enable seamless development and deployment of pipelines and workflows.
Stays current with Informatica Cloud platform enhancements, new features, and industry best practices to recommend improvements in performance, automation, and scalability of the data integration infrastructure.
Experience
A minimum of 7 years of IT work experience utilizing data management tools, business intelligence tools, and data warehousing. Extensive experience with Informatica PowerCenter and Snowflake is preferred.
Primary Job Duties/ Tasks
1. Strong Data Integration and Data Warehousing experience with Informatica IDMC tools (IDMC tools like IDMC CDI, MI, CAI, etc.,)
2. Strong Experience with Data Integration tasks like extraction, transformation, and load (ETL or ELT) tasks
3. Experience administering IDMC platform, Secure Agent Infrastructure and Snowflake Data Cloud platform for statewide adoption
4. Knowledge of and skill in relational database platforms including DB2, SQL Server, Snowflake and Oracle
5. Analyzes transactional data stores and develops data warehouse models to optimize the warehouse for reporting and analytics.
6. Experience with Redhat Linux application administration like security patching applications, managing disk filesystems, managing wrapper and auto-startup scripts.
7. Strong Experience with IDMC Connectors to perform Change Data Capture solutions like PowerExchange and other widely used connectors like relational, ServiceNow, etc.,
8. Assists with the development and maintenance of methods and practices documentation.
9. Experience with IBM Mainframes COBOL, JCL, and DB2 analysis.
Job Specific Knowledge, Skills, and Abilities (KSAs)
1. Experience designing data models for Business Intelligence tools like Power BI and Cognos.
2. Experience with Informatica on-premises products like PowerCenter and Data Quality.
3. Strong development experience with Snowflake Data Cloud
4. Prototypes, builds and tests Power BI and Cognos reports/dashboards.
5. Experience with IDMC Cloud Administration and Snowflake Data Cloud Administration.
6. Ensures data warehouse metadata is collected and maintained.
7. Experience with Informatica IDMC Cloud Performance Tuning
8. Experience with Snowflake Data Cloud Performance Tuning
Education
Bachelor's Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience.